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Stock market prediction : the application of text-mining in Vietnam
Le Hong Hanh; Nguyen Ngoc Nam; Nguyen Thuy Linh; Nguyen … - In: VNU journal of economics and business 2 (2022) 2, pp. 49-58
Persistent link: https://www.econbiz.de/10013499369
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Improving out-of-sample forecasts of stock price indexes with forecast reconciliation and clustering
Mattera, Raffaele; Athanasopoulos, George; Hyndman, Rob J. - 2023
Persistent link: https://www.econbiz.de/10014452575
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Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489
Persistent link: https://www.econbiz.de/10014439728
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Forecasting stock market dynamics using bidirectional long short-term memory
Park, Daehyeon; Ryu, Doojin - In: Romanian journal of economic forecasting 24 (2021) 2, pp. 22-34
Persistent link: https://www.econbiz.de/10012587123
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Stock market prediction and portfolio selection models : a survey
Rather, Akhter Mohiuddin; Sastry, V. N.; Agarwal, Arun - In: Opsearch : journal of the Operational Research Society … 54 (2017) 3, pp. 558-579
Persistent link: https://www.econbiz.de/10011795824
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DAViS : a unified solution for data collection, analyzation, and visualization in real-time stock market prediction
Suppawong Tuarob; Poom Wettayakorn; Ponpat Phetchai; … - In: Financial innovation : FIN 7 (2021), pp. 1-32
The explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous...
Persistent link: https://www.econbiz.de/10012594948
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Forecasting high-frequency stock returns : a comparison of alternative methods
Akyildirim, Erdinc; Bariviera, Aurelio Fernández; … - In: Risk management decisions and value under uncertainty, (pp. 639-690). 2022
Persistent link: https://www.econbiz.de/10013341974
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A granular machine learning framework for forecasting high-frequency financial market variables during the recent black swan event
Ghosh, Indranil; Jana, Rabin K. - In: Technological forecasting & social change : an … 194 (2023), pp. 1-17
Persistent link: https://www.econbiz.de/10014475527
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Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish; Thenmozhi, M. - In: International journal of banking, accounting and finance 5 (2013/2014) 3, pp. 284-308
Persistent link: https://www.econbiz.de/10011474500
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Thai stock news classification based on price changes and sentiments
Ponrudee Netisopakul; Woranun Saewong - In: International journal of electronic finance : IJEF 11 (2022) 1, pp. 49-66
Persistent link: https://www.econbiz.de/10012939852